Mobile Applications for Depression: Comparing Cognitive and Behavioral Approaches

抑郁症的移动应用程序：比较认知和行为方法

• 批准号: 8830095
• 负责人: Colleen Stiles-Shields
• 金额: $ 4.27万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-11-16 至 2016-11-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8830095
• 关键词: Address; Aftercare; American; Australia; Behavior Therapy; Behavioral; Car Phone; Caucasians; Caucasoid Race; Characteristics; Cognitive; Cognitive Therapy; Data; Depressive disorder; Elements; Employee Assistance Program (Health Care); Epidemic; Feasibility Studies; Future; Goals; Health; Health Services Accessibility; Healthcare Systems; Individual; Industry; Internet; Intervention; Knowledge; Literature; Long-Term Care; Measures; Mental Depression; Mental Health; Mental disorders; Methods; Modeling; Monitor; Moods; Morbidity - disease rate; Nature; Online Systems; Outcome; Participant; Patients; Prevalence; Process; Psyche structure; Psychological Theory; Psychology; Randomized; Research; Research Personnel; Research Training; Staging; System; Technology; Telephone; Testing; Time; Translating; Translations; Veterans; Work; arm; base; behavioral health; care systems; combat; comparative; comparative trial; cost; depressive symptoms; design; disability; engineering design; ethnic minority population; follow-up; handheld mobile device; health application; high risk; improved; innovation; mHealth; meetings; mobile application; mortality; psychologic; public health relevance; randomized trial; theories; tool; usability; visual feedback

DESCRIPTION (provided by applicant): Depression imposes a very high societal burden in terms of cost, morbidity, suffering, and mortality. It is the leading cause of disability in the Unted States and the fourth leading cause worldwide. Current methods of treatment are insufficient to combat such a widespread health problem. Therefore, addressing this mental health epidemic requires significant changes in intervention strategies. A growing body of research is examining the use of behavioral intervention technologies (BITs), such as mobile phones to deliver behavioral and mental health interventions. The delivery of interventions via mobile phones offers the potential to provide a near continuous connection between a care system and the patient. However, currently available mobile applications (apps) for depression lack evidence regarding their efficacy. App stores currently offer apps for depression that are designed based on cognitive therapy (CT) interventions, some with behavioral activation (BA), some with mood monitoring only, and many with no discernable psychological approach. Even when based on psychological theory, there is no evidence that the translation of these theories, developed for face- to-face treatment, work the same way for people with depression when delivered through an app. Given the quickly evolving nature of mobile apps, conducting research on every available app will never be possible, nor very useful. The proposed research plan takes an innovative approach to investigating BITs for depression by incorporating principles from psychology, engineering, and design to examine two primary psychological principles, CT and BA, delivered by mobile apps. The project will include two stages. First, the most usable elements of existing apps will be identified to create two apps, one using CT and the other BA, targeting depressive symptoms. This usability process will use a clear, model-driven approach to identify the most usable and useful characteristics for three app elements: information delivery, tools, and visual feedback. Following usability testing and improvements, the two apps will be subjected to a small comparative trial. Secondary aims will include an examination of usage of the apps, defined as how many times the apps are opened on the mobile devices. Results will provide information that can be broadly used by developers of apps for depression and may also have implications for apps aimed at treating other mental health disorders.

描述（由申请人提供）：抑郁症在成本，发病率，痛苦和死亡率方面施加了很高的社会负担。它是未经国家的残疾和全球第四个主要原因的主要原因。当前的治疗方法不足以应对如此广泛的健康问题。因此，解决这种心理健康流行需要重大改变干预策略。越来越多的研究正在研究行为干预技术（位）的使用，例如手机提供行为和心理健康干预措施。通过移动电话提供干预措施的可能性有可能在护理系统和患者之间提供几乎连续的联系。但是，目前可用于抑郁症的移动应用程序（应用程序）缺乏有关其功效的证据。当前的应用商店提供基于认知疗法（CT）干预措施的抑郁症的应用程序，其中一些具有行为激活（BA），有些仅进行情绪监测，许多没有可见的心理方法。即使基于心理理论，也没有证据表明这些理论的翻译是为面对面治疗而开发的，在通过应用程序交付时，对患有抑郁症的人的工作方式相同。鉴于移动应用程序的快速发展性质，对每个可用应用程序进行研究将永远不可能，也不会非常有用。拟议的研究计划采用了一种创新的方法来调查抑郁症的位，通过将心理学，工程和设计的原则纳入由移动应用程序提供的两种主要心理原理CT和BA。该项目将包括两个阶段。首先，将确定现有应用程序中最可用的元素来创建两个应用程序，一个应用程序使用CT和另一个BA，以抑郁症状为目标。该可用性过程将使用清晰的模型驱动方法来确定三个应用程序元素的最有用和有用的特征：信息传输，工具和视觉反馈。经过可用性测试和改进，这两个应用程序将进行小型比较试验。次要目的将包括对应用程序使用的检查，该应用程序定义为在移动设备上打开了多少次。结果将提供有关应用程序的开发人员可用于抑郁症的信息，并可能对旨在治疗其他精神疾病的应用程序产生影响。